基于遗传算法的桥梁竖向共振信号检测仿真

Simulation of Bridge Vertical Resonance Signal Detection Based on Genetic Algorithm

仅通过光纤传感器检测桥梁共振信号时,会受到大量检测信号差异性的影响,导致无法输出最佳检测信号,因此引入遗传算法,提出一种新的桥梁竖向共振信号检测方法。构建共振信号采集系统,采用干涉型光纤传感器采集桥梁竖向共振信号,并通过合理设置光纤传感器的传感距离与空间分辨率来提高信号采集效果;以优化信噪比与误比特率作为目标函数,建立遗传算法模型,将目标函数作为遗传算法的适应度函数,经过编码、初始化处理、解码等过程获取最佳适应度值,输出最优检测信号,实现桥梁竖向共振信号检测。实验结果表明,所提方法可有效抵抗噪声干扰,降低误比特率值,提高竖向共振信号的检测精度。

Due to the influence of massive detection signal difference,the best detection signal is unable to output when the bridge resonance signal is detected by optical fiber sensor.Based on genetic algorithm,this article presented a new method to detect vertical resonance signal of bridge.Firstly,we built a system to collect resonance signals,and used an interferometric optical fiber sensor to collect the vertical resonance signal of bridge.In the meanwhile,we improved the effect of signal acquisition by reasonably setting the sensing distance and spatial resolution of the optical fiber sensor.Taking the optimized signal-to-noise ratio and bit error rate as objective functions,we built a genetic algorithm model,and then took the objective functions as the fitness functions of genetic algorithm.After the coding,initialization and decoding,we obtained the optimal fitness value,and then output the optimal detection signal.Finally,we realized the detection for the vertical resonance signal of bridge.Experimental results show that the proposed method can effectively resist noise interference,reduce bit error rate and improve the detection accuracy of vertical resonance signal.